| Research Articles |
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| Long-term oscillation of drought conditions in the western China: an analysis of PDSI on a decadal scale |
| JIN Jia1,2, WANG Quan1,3*, LI Lanhai1 |
1 Joint Research Center of Drylands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China;
3 Graduate School of Agriculture, Shizuoka University, Shizuoka 422-8529, Japan |
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Abstract Water resource availability is one of the primary limiting factors with regard to ecosystems in the western China. Having a clear understanding of multi-scale drought patterns in this region is a key step for adaption and mitigation to climate change. The Palmer drought severity index (PDSI) is a widely applied index to assess drought conditions. In this study, long-term monthly self-calibrated PDSI data from 1951 to 2012 were examined for drought spatiotemporal variations in the western China. The results clearly indicated that apparent spatial heterogeneities were evidenced between two sub-regions (arid land with annual precipitation less than 200 mm and semiarid land with annual precipitation between 200 to 500 mm) as well as in the entire region of the western China. Ensemble empirical mode decomposition (EEMD) analyses on monthly PDSI and other atmospheric variable time-series obtained from the Department of Civil and Environmental Engineering, Princeton University revealed that all monthly time-series of variables could be completely decomposed into eight intrinsic mode functions (IMFs) and a trend (residual). This indicates that the monthly PDSI and atmospheric variables of the semiarid area in the western China contain eight quasi-period oscillations on various timescale spanning, seasonal to decadal cycles and a trend of a larger timescale from 1951–2012. The multi-scale drought patterns identified in this research could be powerful supports for decision-making regarding coping with droughts in this region.
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Received: 12 December 2015
Published: 01 December 2016
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| Fund: This study was supported by the National Basic Research Program of China (2012CB956204) and the National Natural Science Foundation (41371364). |
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Corresponding Authors:
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